2 citations · 7 across the 7 of their papers we have counts for
11 papers
An Augmented Regression Model for Tensors with Missing Values
Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong +2
Heterogeneous but complementary sources of data provide an unprecedented opportunity for developing accurate statistical models of systems. Although the existing methods have shown…
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt +1
In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited trainin…
Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper
Xinran Shi, Xiaowei Yue, Zhiyong Liang +1
Carbon nanotube (CNT) thin sheet, or buckypaper, has shown great potential as a multifunctional platform material due to its desirable properties, including its lightweight nature,…
Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation
Yan Wang, Xiaowei Yue, Rui Tuo +2
Estimation of model parameters of computer simulators, also known as calibration, is an important topic in many engineering applications. In this paper, we consider the calibration…
AKMD : An Adaptive Framework for Online Sensing and Anomaly Quantification
Hao Yan, Kamran Paynabar, Jianjun Shi
In point-based sensing systems such as coordinate measuring machines (CMM) and laser ultrasonics where complete sensing is impractical due to the high sensing time and cost, adapti…
Learning the Treatment Effects on FTIR Signals Subject to Multiple Sources of Uncertainties
Hongzhen Tian, Andi Wang, Jialei Chen +5
Fourier-transform infrared spectroscopy (FTIR) is a versatile technique for characterizing the chemical composition of the various uncertainties, including baseline shift and multi…